Machine Learning

Machine Learning (ML) is a subset of Artificial Intelligence (AI) that enables computers to learn and make decisions without being explicitly programmed. It focuses on developing algorithms and models that allow systems to analyze data, recognize patterns, and improve performance over time through experience. Instead of following fixed instructions, ML systems learn from historical data, adapt to new inputs, and make data-driven predictions or classifications.

Machine Learning is broadly categorized into supervised, unsupervised, and reinforcement learning. In supervised learning, models are trained on labeled datasets to predict outcomes, while unsupervised learning identifies hidden structures in unlabeled data. Reinforcement learning enables systems to learn through trial and error by interacting with their environment and receiving feedback.